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A New QP-free Algorithm Without a Penalty Function or a Filter for Nonlinear Semidefinite Programming 被引量:1

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摘要 In this paper,we present a QP-free algorithm without a penalty function or a filter for nonlinear semidefinite programming.At each iteration,two systems of linear equations with the same coefficient matrix are solved to determine search direction;the nonmonotone line search ensures that the objective function or constraint violation function is sufficiently reduced.There is no feasibility restoration phase in our algorithm,which is necessary for traditional filter methods.The proposed algorithm is globally convergent under some mild conditions.Preliminary numerical results indicate that the proposed algorithm is comparable.
出处 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2020年第3期714-736,共23页 应用数学学报(英文版)
基金 supported by the National Natural Science Foundation(No.11561005) the National Science Foundation of Guangxi(No.2016GXNSFAA380248)。
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